embed_text
Generate text embeddings.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| model | No | minilm |
Generate text embeddings.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| model | No | minilm |
Changes observed during successful MCP inspections.
Input schema / properties / text / descriptionRemoved value: -"Text to embed"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full burden. It only states the action and doesn't disclose output format, model behavior, or any side effects. It adds minimal behavioral context beyond the name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence but is under-specified. It's efficient but lacks necessary detail, earning a middle score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations and no output schema, the description should explain return values and usage constraints. It does neither, leaving the user to infer everything from the schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain the 'text' or 'model' parameters. It adds no semantic meaning to the schema's parameter definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'generate' with the resource 'text embeddings,' clearly stating the core function. It doesn't explicitly distinguish from sibling tools like text_similarity or rerank_docs, but the action is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like text_similarity or rerank_docs. No context or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.